A priori synthetic over-sampling methods for increasing classification sensitivity in imbalanced data sets

Author:

Rivera William A.,Xanthopoulos Petros

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference51 articles.

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5. Safe-level-smote: Safe-level-synthetic minority over-sampling technique for handling the class imbalanced problem;Bunkhumpornpat,2009

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